О компании
Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, it solves complex engineering challenges and creates solutions that power real-time entertainment for a global audience.
Задачи
•Develop and improve retrieval pipelines for large-scale production search systems
•Work on candidate generation, query processing, matching, filtering, and retrieval strategies
•Improve search relevance, result coverage, and overall SERP quality
•Analyze failed searches, irrelevant results, zero-result queries, and other search-quality issues
•Explore lexical, semantic, behavioural, hybrid, and vector search approaches
•Build, train, and optimize ranking models for search and recommendation systems
•Develop learning-to-rank solutions using behavioural, content-based, contextual, and real-time features
•Design ranking features based on clicks, conversions, popularity, freshness, availability, and user behaviour
•Evaluate ranking quality using Precision, Recall, NDCG, MAP, MRR, and related relevance metrics
•Optimize models for low-latency inference and investigate relevance degradation, bias, and feedback loops
•Develop recommendation models and candidate-generation strategies for personalised and non-personalised scenarios
•Build recall and ranking stages for multi-stage recommendation pipelines
•Work on related-item, complementary-item, next-action, and behavioural recommendation use cases
•Develop user, item, session, and contextual representations
•Balance relevance, diversity, novelty, coverage, and business constraints
•Design and run offline and online experiments for search, ranking, and recommendation improvements
•Build evaluation frameworks that connect model quality with product and business outcomes
•Design and analyze A/B tests using CTR, conversion, engagement, retention, and revenue-related metrics
•Create reproducible pipelines for data preparation, model training, evaluation, and comparison
•Evaluate model robustness across traffic segments, query groups, user cohorts, and edge cases
•Build end-to-end ML pipelines for feature generation, training, validation, deployment, and monitoring
•Work with high-load, real-time, and low-latency production systems
•Process large datasets using Python, SQL, batch pipelines, streaming systems, and Kafka
•Collaborate with product, backend, data engineering, and MLOps teams to productionise ML solutions
•Communicate technical decisions, experiment results, and trade-offs while contributing to ML best practices
Требования
•Strong hands-on experience building production search, ranking, or recommendation systems
•Strong Python and SQL skills for machine learning, data processing, and analytical queries
•Practical experience with learning-to-rank, candidate retrieval, search relevance, or recommender-system modelling
•Experience building and evaluating multi-stage retrieval and ranking pipelines
•Strong understanding of search and recommendation metrics, including Precision, Recall, NDCG, MAP, MRR, CTR, and conversion
•Experience with feature engineering and behavioural data such as impressions, clicks, sessions, and conversions
•Experience with ML libraries such as scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, or TensorFlow
•Experience working with large-scale production systems, distributed data processing, analytical databases, and streaming platforms
•Strong understanding of experimentation and A/B testing, with the ability to independently build and validate ML solutions
Будет плюсом
•Experience with Elasticsearch, OpenSearch, Solr, Lucene, or another search-engine stack
•Vector databases, approximate nearest neighbour search, and hybrid lexical-semantic retrieval
•Query understanding, classification, spell correction, synonyms, or query expansion
•DSSM, two-tower models, BERT-based ranking, cross-encoders, or similar neural architectures
•Large-scale data and ML platforms such as Airflow and MLflow
Условия
•EU-based employment contract and a 3-year Cyprus work visa, with full support for relocation and visa processes, including assistance for family
•Full relocation package: flights to Limassol for the candidate and family, a company-covered apartment for the first month, and relocation support
•Transparent performance reviews twice a year, with bonus opportunities and salary adjustments
•Private medical insurance for the candidate and family, a corporate mobile plan with unlimited use in Cyprus and roaming, and interest-free support for car purchases
•Provident fund in Cyprus, co-funded by the employee and the Company and available after probation
•Mindfulness and well-being support, including psychological assistance with 50% coverage
•50% Coverage of school and kindergarten fees for children
•Fully covered sports benefits, access to in-house electric scooters and bike rentals, and cycling purchase compensation
•Paid language courses and access to development programs, conferences, training programs, and coaching
•Peer reward program
•Fully equipped office in Limassol's city center
•Free office catering, an in-house coffee bar, and a health bar with nutritious snacks
•International teams, corporate events, team buildings, and hackathons
Recruitment process
•HR interview (40 min)
•Technical interview (1.5 hour)
•Final interview (45 min)
